1 citations · 3 across the 6 of their papers we have counts for
7 papers
A Federated Deepfake Speech Detection Method Based on Layer-Wise Center-Guided Weighting Aggregation
Yingjian Yu, Haiyan Guo, Tianshun Wang +2
The advancement of deep learning-based speech synthesis has significantly increased the diversity of deepfake speech, posing threats to voice authentication. While centralized trai…
Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement
Tingting Wang, Tianrui Wang, Meng Ge +3
Time-frequency (T-F) domain methods for monaural speech enhancement have benefited from the success of deep learning. Recently, focus has been put on designing two-stream network m…
Speaker Recognition Using Isomorphic Graph Attention Network Based Pooling on Self-Supervised Representation
Zirui Ge, Xinzhou Xu, Haiyan Guo +2
The emergence of self-supervised representation (i.e., wav2vec 2.0) allows speaker-recognition approaches to process spoken signals through foundation models built on speech data.…
The Graph feature fusion technique for speaker recognition based on wav2vec2.0 framework
Zirui Ge, Haiyan Guo, Zhen Yang
Pre-trained wav2vec2.0 model has been proved its effectiveness for speaker recognition. However, current feature processing methods are focusing on classical pooling on the output…
Universal Graph Filter Design based on Butterworth, Chebyshev and Elliptic Functions
Zirui Ge, Haiyan Guo, Tingting Wang +1
Graph filters are crucial tools in processing the spectrum of graph signals. In this paper, we propose to design universal IIR graph filters with low computational complexity by us…
Weighted Mean and Median graph Filters with Attenuation Factor for Sensor Network
Zirui Ge, Zhen Yang
This paper proposes a weighted attenuation k-hop graph, which depicts the spatial neighbor nodes with their hops from the central node. Based on this k-kop graph, we further propos…
Optimal Fractional Fourier Filtering in Time-vertex Graphs signal processing
Zirui Ge, Haiyan Guo, Tingting Wang +1
Graph signal processing (GSP) is an effective tool in dealing with data residing in irregular domains. In GSP, the optimal graph filter is one of the essential techniques, owing to…